Pandas Profiling Report

Dataset statistics

Number of variables	21
Number of observations	41188
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	12
Duplicate rows (%)	< 0.1%
Total size in memory	6.6 MiB
Average record size in memory	168.0 B

Variable types

Categorical	12
Numeric	9

Warnings

Dataset has 12 (< 0.1%) duplicate rows	Duplicates
`"age` has a high cardinality: 78 distinct values	High cardinality
`""emp.var.rate""` is highly correlated with `""euribor3m""` and 1 other fields	High correlation
`""euribor3m""` is highly correlated with `""emp.var.rate""` and 1 other fields	High correlation
`""nr.employed""` is highly correlated with `""emp.var.rate""` and 1 other fields	High correlation
`""previous""` has 35563 (86.3%) zeros	Zeros

Reproduction

Analysis started	2021-04-27 20:08:12.347717
Analysis finished	2021-04-27 20:08:37.451937
Duration	25.1 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

"age
Categorical

HIGH CARDINALITY

Distinct	78
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

"31	1947
"32	1846
"33	1833
"36	1780
"35	1759
Other values (73)	32023

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	123564
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	"56
2nd row	"57
3rd row	"37
4th row	"40
5th row	"56

Value	Count	Frequency (%)
"31	1947	4.7%
"32	1846	4.5%
"33	1833	4.5%
"36	1780	4.3%
"35	1759	4.3%
"34	1745	4.2%
"30	1714	4.2%
"37	1475	3.6%
"29	1453	3.5%
"39	1432	3.5%
Other values (68)	24204	58.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
31	1947	4.7%
32	1846	4.5%
33	1833	4.5%
36	1780	4.3%
35	1759	4.3%
34	1745	4.2%
30	1714	4.2%
37	1475	3.6%
29	1453	3.5%
39	1432	3.5%
Other values (68)	24204	58.8%

Most occurring characters

Value	Count	Frequency (%)
"	41188	33.3%
3	20891	16.9%
4	14526	11.8%
5	11054	8.9%
2	9615	7.8%
6	5035	4.1%
1	4304	3.5%
9	4289	3.5%
7	4271	3.5%
8	4215	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	82376	66.7%
Other Punctuation	41188	33.3%

Most frequent character per category

Value	Count	Frequency (%)
3	20891	25.4%
4	14526	17.6%
5	11054	13.4%
2	9615	11.7%
6	5035	6.1%
1	4304	5.2%
9	4289	5.2%
7	4271	5.2%
8	4215	5.1%
0	4176	5.1%

Value	Count	Frequency (%)
"	41188	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	123564	100.0%

Most frequent character per script

Value	Count	Frequency (%)
"	41188	33.3%
3	20891	16.9%
4	14526	11.8%
5	11054	8.9%
2	9615	7.8%
6	5035	4.1%
1	4304	3.5%
9	4289	3.5%
7	4271	3.5%
8	4215	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	123564	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	41188	33.3%
3	20891	16.9%
4	14526	11.8%
5	11054	8.9%
2	9615	7.8%
6	5035	4.1%
1	4304	3.5%
9	4289	3.5%
7	4271	3.5%
8	4215	3.4%

""job""
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

""admin.""	10422
""blue-collar""	9254
""technician""	6743
""services""	3969
""management""	2924
Other values (7)	7876

Length

Max length	17
Median length	14
Mean length	12.95522968
Min length	10

Characters and Unicode

Total characters	533600
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	""housemaid""
2nd row	""services""
3rd row	""services""
4th row	""admin.""
5th row	""services""

Value	Count	Frequency (%)
""admin.""	10422	25.3%
""blue-collar""	9254	22.5%
""technician""	6743	16.4%
""services""	3969	9.6%
""management""	2924	7.1%
""retired""	1720	4.2%
""entrepreneur""	1456	3.5%
""self-employed""	1421	3.5%
""housemaid""	1060	2.6%
""unemployed""	1014	2.5%
Other values (2)	1205	2.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
admin	10422	25.3%
blue-collar	9254	22.5%
technician	6743	16.4%
services	3969	9.6%
management	2924	7.1%
retired	1720	4.2%
entrepreneur	1456	3.5%
self-employed	1421	3.5%
housemaid	1060	2.6%
unemployed	1014	2.5%
Other values (2)	1205	2.9%

Most occurring characters

Value	Count	Frequency (%)
"	164752	30.9%
e	47273	8.9%
n	35547	6.7%
a	33327	6.2%
l	31618	5.9%
i	30657	5.7%
c	26709	5.0%
r	21031	3.9%
m	19765	3.7%
d	16512	3.1%
Other values (15)	106409	19.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	347751	65.2%
Other Punctuation	175174	32.8%
Dash Punctuation	10675	2.0%

Most frequent character per category

Value	Count	Frequency (%)
e	47273	13.6%
n	35547	10.2%
a	33327	9.6%
l	31618	9.1%
i	30657	8.8%
c	26709	7.7%
r	21031	6.0%
m	19765	5.7%
d	16512	4.7%
t	14593	4.2%
Other values (12)	70719	20.3%

Value	Count	Frequency (%)
"	164752	94.1%
.	10422	5.9%

Value	Count	Frequency (%)
-	10675	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	347751	65.2%
Common	185849	34.8%

Most frequent character per script

Value	Count	Frequency (%)
e	47273	13.6%
n	35547	10.2%
a	33327	9.6%
l	31618	9.1%
i	30657	8.8%
c	26709	7.7%
r	21031	6.0%
m	19765	5.7%
d	16512	4.7%
t	14593	4.2%
Other values (12)	70719	20.3%

Value	Count	Frequency (%)
"	164752	88.6%
-	10675	5.7%
.	10422	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	533600	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	164752	30.9%
e	47273	8.9%
n	35547	6.7%
a	33327	6.2%
l	31618	5.9%
i	30657	5.7%
c	26709	5.0%
r	21031	3.9%
m	19765	3.7%
d	16512	3.1%
Other values (15)	106409	19.9%

""marital""
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

""married""	24928
""single""	11568
""divorced""	4612
""unknown""	80

Length

Max length	12
Median length	11
Mean length	10.83111586
Min length	10

Characters and Unicode

Total characters	446112
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	""married""
2nd row	""married""
3rd row	""married""
4th row	""married""
5th row	""married""

Value	Count	Frequency (%)
""married""	24928	60.5%
""single""	11568	28.1%
""divorced""	4612	11.2%
""unknown""	80	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
married	24928	60.5%
single	11568	28.1%
divorced	4612	11.2%
unknown	80	0.2%

Most occurring characters

Value	Count	Frequency (%)
"	164752	36.9%
r	54468	12.2%
i	41108	9.2%
e	41108	9.2%
d	34152	7.7%
m	24928	5.6%
a	24928	5.6%
n	11808	2.6%
s	11568	2.6%
g	11568	2.6%
Other values (7)	25724	5.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	281360	63.1%
Other Punctuation	164752	36.9%

Most frequent character per category

Value	Count	Frequency (%)
r	54468	19.4%
i	41108	14.6%
e	41108	14.6%
d	34152	12.1%
m	24928	8.9%
a	24928	8.9%
n	11808	4.2%
s	11568	4.1%
g	11568	4.1%
l	11568	4.1%
Other values (6)	14156	5.0%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	281360	63.1%
Common	164752	36.9%

Most frequent character per script

Value	Count	Frequency (%)
r	54468	19.4%
i	41108	14.6%
e	41108	14.6%
d	34152	12.1%
m	24928	8.9%
a	24928	8.9%
n	11808	4.2%
s	11568	4.1%
g	11568	4.1%
l	11568	4.1%
Other values (6)	14156	5.0%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	446112	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	164752	36.9%
r	54468	12.2%
i	41108	9.2%
e	41108	9.2%
d	34152	7.7%
m	24928	5.6%
a	24928	5.6%
n	11808	2.6%
s	11568	2.6%
g	11568	2.6%
Other values (7)	25724	5.8%

""education""
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

""university.degree""	12168
""high.school""	9515
""basic.9y""	6045
""professional.course""	5243
""basic.4y""	4176
Other values (3)	4041

Length

Max length	23
Median length	15
Mean length	16.7109595
Min length	11

Characters and Unicode

Total characters	688291
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	""basic.4y""
2nd row	""high.school""
3rd row	""high.school""
4th row	""basic.6y""
5th row	""high.school""

Value	Count	Frequency (%)
""university.degree""	12168	29.5%
""high.school""	9515	23.1%
""basic.9y""	6045	14.7%
""professional.course""	5243	12.7%
""basic.4y""	4176	10.1%
""basic.6y""	2292	5.6%
""unknown""	1731	4.2%
""illiterate""	18	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
university.degree	12168	29.5%
high.school	9515	23.1%
basic.9y	6045	14.7%
professional.course	5243	12.7%
basic.4y	4176	10.1%
basic.6y	2292	5.6%
unknown	1731	4.2%
illiterate	18	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
"	164752	23.9%
e	59194	8.6%
i	51643	7.5%
s	49925	7.3%
.	39439	5.7%
o	36490	5.3%
r	34840	5.1%
h	28545	4.1%
c	27271	4.0%
y	24681	3.6%
Other values (16)	171511	24.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	471587	68.5%
Other Punctuation	204191	29.7%
Decimal Number	12513	1.8%

Most frequent character per category

Value	Count	Frequency (%)
e	59194	12.6%
i	51643	11.0%
s	49925	10.6%
o	36490	7.7%
r	34840	7.4%
h	28545	6.1%
c	27271	5.8%
y	24681	5.2%
n	22604	4.8%
g	21683	4.6%
Other values (11)	114711	24.3%

Value	Count	Frequency (%)
9	6045	48.3%
4	4176	33.4%
6	2292	18.3%

Value	Count	Frequency (%)
"	164752	80.7%
.	39439	19.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	471587	68.5%
Common	216704	31.5%

Most frequent character per script

Value	Count	Frequency (%)
e	59194	12.6%
i	51643	11.0%
s	49925	10.6%
o	36490	7.7%
r	34840	7.4%
h	28545	6.1%
c	27271	5.8%
y	24681	5.2%
n	22604	4.8%
g	21683	4.6%
Other values (11)	114711	24.3%

Value	Count	Frequency (%)
"	164752	76.0%
.	39439	18.2%
9	6045	2.8%
4	4176	1.9%
6	2292	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	688291	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	164752	23.9%
e	59194	8.6%
i	51643	7.5%
s	49925	7.3%
.	39439	5.7%
o	36490	5.3%
r	34840	5.1%
h	28545	4.1%
c	27271	4.0%
y	24681	3.6%
Other values (16)	171511	24.9%

""default""
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

""no""	32588
""unknown""	8597
""yes""	3

Length

Max length	11
Median length	6
Mean length	7.043702049
Min length	6

Characters and Unicode

Total characters	290116
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	""no""
2nd row	""unknown""
3rd row	""no""
4th row	""no""
5th row	""no""

Value	Count	Frequency (%)
""no""	32588	79.1%
""unknown""	8597	20.9%
""yes""	3	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	32588	79.1%
unknown	8597	20.9%
yes	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
"	164752	56.8%
n	58379	20.1%
o	41185	14.2%
u	8597	3.0%
k	8597	3.0%
w	8597	3.0%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	164752	56.8%
Lowercase Letter	125364	43.2%

Most frequent character per category

Value	Count	Frequency (%)
n	58379	46.6%
o	41185	32.9%
u	8597	6.9%
k	8597	6.9%
w	8597	6.9%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	164752	56.8%
Latin	125364	43.2%

Most frequent character per script

Value	Count	Frequency (%)
n	58379	46.6%
o	41185	32.9%
u	8597	6.9%
k	8597	6.9%
w	8597	6.9%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	290116	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	164752	56.8%
n	58379	20.1%
o	41185	14.2%
u	8597	3.0%
k	8597	3.0%
w	8597	3.0%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

""housing""
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

""yes""	21576
""no""	18622
""unknown""	990

Length

Max length	11
Median length	7
Mean length	6.644022531
Min length	6

Characters and Unicode

Total characters	273654
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	""no""
2nd row	""no""
3rd row	""yes""
4th row	""no""
5th row	""no""

Value	Count	Frequency (%)
""yes""	21576	52.4%
""no""	18622	45.2%
""unknown""	990	2.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
yes	21576	52.4%
no	18622	45.2%
unknown	990	2.4%

Most occurring characters

Value	Count	Frequency (%)
"	164752	60.2%
n	21592	7.9%
y	21576	7.9%
e	21576	7.9%
s	21576	7.9%
o	19612	7.2%
u	990	0.4%
k	990	0.4%
w	990	0.4%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	164752	60.2%
Lowercase Letter	108902	39.8%

Most frequent character per category

Value	Count	Frequency (%)
n	21592	19.8%
y	21576	19.8%
e	21576	19.8%
s	21576	19.8%
o	19612	18.0%
u	990	0.9%
k	990	0.9%
w	990	0.9%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	164752	60.2%
Latin	108902	39.8%

Most frequent character per script

Value	Count	Frequency (%)
n	21592	19.8%
y	21576	19.8%
e	21576	19.8%
s	21576	19.8%
o	19612	18.0%
u	990	0.9%
k	990	0.9%
w	990	0.9%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	273654	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	164752	60.2%
n	21592	7.9%
y	21576	7.9%
e	21576	7.9%
s	21576	7.9%
o	19612	7.2%
u	990	0.4%
k	990	0.4%
w	990	0.4%

""loan""
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

""no""	33950
""yes""	6248
""unknown""	990

Length

Max length	11
Median length	6
Mean length	6.271875303
Min length	6

Characters and Unicode

Total characters	258326
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	""no""
2nd row	""no""
3rd row	""no""
4th row	""no""
5th row	""yes""

Value	Count	Frequency (%)
""no""	33950	82.4%
""yes""	6248	15.2%
""unknown""	990	2.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	33950	82.4%
yes	6248	15.2%
unknown	990	2.4%

Most occurring characters

Value	Count	Frequency (%)
"	164752	63.8%
n	36920	14.3%
o	34940	13.5%
y	6248	2.4%
e	6248	2.4%
s	6248	2.4%
u	990	0.4%
k	990	0.4%
w	990	0.4%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	164752	63.8%
Lowercase Letter	93574	36.2%

Most frequent character per category

Value	Count	Frequency (%)
n	36920	39.5%
o	34940	37.3%
y	6248	6.7%
e	6248	6.7%
s	6248	6.7%
u	990	1.1%
k	990	1.1%
w	990	1.1%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	164752	63.8%
Latin	93574	36.2%

Most frequent character per script

Value	Count	Frequency (%)
n	36920	39.5%
o	34940	37.3%
y	6248	6.7%
e	6248	6.7%
s	6248	6.7%
u	990	1.1%
k	990	1.1%
w	990	1.1%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	258326	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	164752	63.8%
n	36920	14.3%
o	34940	13.5%
y	6248	2.4%
e	6248	2.4%
s	6248	2.4%
u	990	0.4%
k	990	0.4%
w	990	0.4%

""contact""
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

""cellular""	26144
""telephone""	15044

Length

Max length	13
Median length	12
Mean length	12.36525202
Min length	12

Characters and Unicode

Total characters	509300
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	""telephone""
2nd row	""telephone""
3rd row	""telephone""
4th row	""telephone""
5th row	""telephone""

Value	Count	Frequency (%)
""cellular""	26144	63.5%
""telephone""	15044	36.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
cellular	26144	63.5%
telephone	15044	36.5%

Most occurring characters

Value	Count	Frequency (%)
"	164752	32.3%
l	93476	18.4%
e	71276	14.0%
c	26144	5.1%
u	26144	5.1%
a	26144	5.1%
r	26144	5.1%
t	15044	3.0%
p	15044	3.0%
h	15044	3.0%
Other values (2)	30088	5.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	344548	67.7%
Other Punctuation	164752	32.3%

Most frequent character per category

Value	Count	Frequency (%)
l	93476	27.1%
e	71276	20.7%
c	26144	7.6%
u	26144	7.6%
a	26144	7.6%
r	26144	7.6%
t	15044	4.4%
p	15044	4.4%
h	15044	4.4%
o	15044	4.4%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	344548	67.7%
Common	164752	32.3%

Most frequent character per script

Value	Count	Frequency (%)
l	93476	27.1%
e	71276	20.7%
c	26144	7.6%
u	26144	7.6%
a	26144	7.6%
r	26144	7.6%
t	15044	4.4%
p	15044	4.4%
h	15044	4.4%
o	15044	4.4%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	509300	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	164752	32.3%
l	93476	18.4%
e	71276	14.0%
c	26144	5.1%
u	26144	5.1%
a	26144	5.1%
r	26144	5.1%
t	15044	3.0%
p	15044	3.0%
h	15044	3.0%
Other values (2)	30088	5.9%

""month""
Categorical

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

""may""	13769
""jul""	7174
""aug""	6178
""jun""	5318
""nov""	4101
Other values (5)	4648

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	288316
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	""may""
2nd row	""may""
3rd row	""may""
4th row	""may""
5th row	""may""

Value	Count	Frequency (%)
""may""	13769	33.4%
""jul""	7174	17.4%
""aug""	6178	15.0%
""jun""	5318	12.9%
""nov""	4101	10.0%
""apr""	2632	6.4%
""oct""	718	1.7%
""sep""	570	1.4%
""mar""	546	1.3%
""dec""	182	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
may	13769	33.4%
jul	7174	17.4%
aug	6178	15.0%
jun	5318	12.9%
nov	4101	10.0%
apr	2632	6.4%
oct	718	1.7%
sep	570	1.4%
mar	546	1.3%
dec	182	0.4%

Most occurring characters

Value	Count	Frequency (%)
"	164752	57.1%
a	23125	8.0%
u	18670	6.5%
m	14315	5.0%
y	13769	4.8%
j	12492	4.3%
n	9419	3.3%
l	7174	2.5%
g	6178	2.1%
o	4819	1.7%
Other values (8)	13603	4.7%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	164752	57.1%
Lowercase Letter	123564	42.9%

Most frequent character per category

Value	Count	Frequency (%)
a	23125	18.7%
u	18670	15.1%
m	14315	11.6%
y	13769	11.1%
j	12492	10.1%
n	9419	7.6%
l	7174	5.8%
g	6178	5.0%
o	4819	3.9%
v	4101	3.3%
Other values (7)	9502	7.7%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	164752	57.1%
Latin	123564	42.9%

Most frequent character per script

Value	Count	Frequency (%)
a	23125	18.7%
u	18670	15.1%
m	14315	11.6%
y	13769	11.1%
j	12492	10.1%
n	9419	7.6%
l	7174	5.8%
g	6178	5.0%
o	4819	3.9%
v	4101	3.3%
Other values (7)	9502	7.7%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	288316	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	164752	57.1%
a	23125	8.0%
u	18670	6.5%
m	14315	5.0%
y	13769	4.8%
j	12492	4.3%
n	9419	3.3%
l	7174	2.5%
g	6178	2.1%
o	4819	1.7%
Other values (8)	13603	4.7%

""day_of_week""
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

""thu""	8623
""mon""	8514
""wed""	8134
""tue""	8090
""fri""	7827

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	288316
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	""mon""
2nd row	""mon""
3rd row	""mon""
4th row	""mon""
5th row	""mon""

Value	Count	Frequency (%)
""thu""	8623	20.9%
""mon""	8514	20.7%
""wed""	8134	19.7%
""tue""	8090	19.6%
""fri""	7827	19.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
thu	8623	20.9%
mon	8514	20.7%
wed	8134	19.7%
tue	8090	19.6%
fri	7827	19.0%

Most occurring characters

Value	Count	Frequency (%)
"	164752	57.1%
t	16713	5.8%
u	16713	5.8%
e	16224	5.6%
h	8623	3.0%
m	8514	3.0%
o	8514	3.0%
n	8514	3.0%
w	8134	2.8%
d	8134	2.8%
Other values (3)	23481	8.1%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	164752	57.1%
Lowercase Letter	123564	42.9%

Most frequent character per category

Value	Count	Frequency (%)
t	16713	13.5%
u	16713	13.5%
e	16224	13.1%
h	8623	7.0%
m	8514	6.9%
o	8514	6.9%
n	8514	6.9%
w	8134	6.6%
d	8134	6.6%
f	7827	6.3%
Other values (2)	15654	12.7%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	164752	57.1%
Latin	123564	42.9%

Most frequent character per script

Value	Count	Frequency (%)
t	16713	13.5%
u	16713	13.5%
e	16224	13.1%
h	8623	7.0%
m	8514	6.9%
o	8514	6.9%
n	8514	6.9%
w	8134	6.6%
d	8134	6.6%
f	7827	6.3%
Other values (2)	15654	12.7%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	288316	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	164752	57.1%
t	16713	5.8%
u	16713	5.8%
e	16224	5.6%
h	8623	3.0%
m	8514	3.0%
o	8514	3.0%
n	8514	3.0%
w	8134	2.8%
d	8134	2.8%
Other values (3)	23481	8.1%

""duration""
Real number (ℝ_≥0)

Distinct	1544
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	258.2850102
Minimum	0
Maximum	4918
Zeros	4
Zeros (%)	< 0.1%
Memory size	321.9 KiB

Quantile statistics

Minimum	0
5-th percentile	36
Q1	102
median	180
Q3	319
95-th percentile	752.65
Maximum	4918
Range	4918
Interquartile range (IQR)	217

Descriptive statistics

Standard deviation	259.2792488
Coefficient of variation (CV)	1.003849386
Kurtosis	20.24793801
Mean	258.2850102
Median Absolute Deviation (MAD)	94
Skewness	3.263141255
Sum	10638243
Variance	67225.72888
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
85	170	0.4%
90	170	0.4%
136	168	0.4%
73	167	0.4%
124	164	0.4%
87	162	0.4%
104	161	0.4%
72	161	0.4%
111	160	0.4%
106	159	0.4%
Other values (1534)	39546	96.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	3	< 0.1%
2	1	< 0.1%
3	3	< 0.1%
4	12	< 0.1%

Value	Count	Frequency (%)
4918	1	< 0.1%
4199	1	< 0.1%
3785	1	< 0.1%
3643	1	< 0.1%
3631	1	< 0.1%

""campaign""
Real number (ℝ_≥0)

Distinct	42
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.567592503
Minimum	1
Maximum	56
Zeros	0
Zeros (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	7
Maximum	56
Range	55
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.770013543
Coefficient of variation (CV)	1.078836903
Kurtosis	36.97979514
Mean	2.567592503
Median Absolute Deviation (MAD)	1
Skewness	4.762506697
Sum	105754
Variance	7.672975028
Monotocity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
1	17642	42.8%
2	10570	25.7%
3	5341	13.0%
4	2651	6.4%
5	1599	3.9%
6	979	2.4%
7	629	1.5%
8	400	1.0%
9	283	0.7%
10	225	0.5%
Other values (32)	869	2.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	17642	42.8%
2	10570	25.7%
3	5341	13.0%
4	2651	6.4%
5	1599	3.9%

Value	Count	Frequency (%)
56	1	< 0.1%
43	2	< 0.1%
42	2	< 0.1%
41	1	< 0.1%
40	2	< 0.1%

""pdays""
Real number (ℝ_≥0)

Distinct	27
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	962.475454
Minimum	0
Maximum	999
Zeros	15
Zeros (%)	< 0.1%
Memory size	321.9 KiB

Quantile statistics

Minimum	0
5-th percentile	999
Q1	999
median	999
Q3	999
95-th percentile	999
Maximum	999
Range	999
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	186.9109073
Coefficient of variation (CV)	0.194198103
Kurtosis	22.22946263
Mean	962.475454
Median Absolute Deviation (MAD)	0
Skewness	-4.922189916
Sum	39642439
Variance	34935.68728
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
999	39673	96.3%
3	439	1.1%
6	412	1.0%
4	118	0.3%
9	64	0.2%
2	61	0.1%
7	60	0.1%
12	58	0.1%
10	52	0.1%
5	46	0.1%
Other values (17)	205	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	15	< 0.1%
1	26	0.1%
2	61	0.1%
3	439	1.1%
4	118	0.3%

Value	Count	Frequency (%)
999	39673	96.3%
27	1	< 0.1%
26	1	< 0.1%
25	1	< 0.1%
22	3	< 0.1%

""previous""
Real number (ℝ_≥0)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1729629989
Minimum	0
Maximum	7
Zeros	35563
Zeros (%)	86.3%
Memory size	321.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4949010798
Coefficient of variation (CV)	2.861311858
Kurtosis	20.10881622
Mean	0.1729629989
Median Absolute Deviation (MAD)	0
Skewness	3.832042243
Sum	7124
Variance	0.2449270788
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	35563	86.3%
1	4561	11.1%
2	754	1.8%
3	216	0.5%
4	70	0.2%
5	18	< 0.1%
6	5	< 0.1%
7	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	35563	86.3%
1	4561	11.1%
2	754	1.8%
3	216	0.5%
4	70	0.2%

Value	Count	Frequency (%)
7	1	< 0.1%
6	5	< 0.1%
5	18	< 0.1%
4	70	0.2%
3	216	0.5%

""poutcome""
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

""nonexistent""	35563
""failure""	4252
""success""	1373

Length

Max length	15
Median length	15
Mean length	14.45372439
Min length	11

Characters and Unicode

Total characters	595320
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	""nonexistent""
2nd row	""nonexistent""
3rd row	""nonexistent""
4th row	""nonexistent""
5th row	""nonexistent""

Value	Count	Frequency (%)
""nonexistent""	35563	86.3%
""failure""	4252	10.3%
""success""	1373	3.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
nonexistent	35563	86.3%
failure	4252	10.3%
success	1373	3.3%

Most occurring characters

Value	Count	Frequency (%)
"	164752	27.7%
n	106689	17.9%
e	76751	12.9%
t	71126	11.9%
i	39815	6.7%
s	39682	6.7%
o	35563	6.0%
x	35563	6.0%
u	5625	0.9%
f	4252	0.7%
Other values (4)	15502	2.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	430568	72.3%
Other Punctuation	164752	27.7%

Most frequent character per category

Value	Count	Frequency (%)
n	106689	24.8%
e	76751	17.8%
t	71126	16.5%
i	39815	9.2%
s	39682	9.2%
o	35563	8.3%
x	35563	8.3%
u	5625	1.3%
f	4252	1.0%
a	4252	1.0%
Other values (3)	11250	2.6%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	430568	72.3%
Common	164752	27.7%

Most frequent character per script

Value	Count	Frequency (%)
n	106689	24.8%
e	76751	17.8%
t	71126	16.5%
i	39815	9.2%
s	39682	9.2%
o	35563	8.3%
x	35563	8.3%
u	5625	1.3%
f	4252	1.0%
a	4252	1.0%
Other values (3)	11250	2.6%

Value	Count	Frequency (%)
"	164752	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	595320	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	164752	27.7%
n	106689	17.9%
e	76751	12.9%
t	71126	11.9%
i	39815	6.7%
s	39682	6.7%
o	35563	6.0%
x	35563	6.0%
u	5625	0.9%
f	4252	0.7%
Other values (4)	15502	2.6%

""emp.var.rate""
Real number (ℝ)

HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.08188550063
Minimum	-3.4
Maximum	1.4
Zeros	0
Zeros (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	-3.4
5-th percentile	-2.9
Q1	-1.8
median	1.1
Q3	1.4
95-th percentile	1.4
Maximum	1.4
Range	4.8
Interquartile range (IQR)	3.2

Descriptive statistics

Standard deviation	1.570959741
Coefficient of variation (CV)	19.18483405
Kurtosis	-1.062631525
Mean	0.08188550063
Median Absolute Deviation (MAD)	0.3
Skewness	-0.7240955492
Sum	3372.7
Variance	2.467914506
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1.4	16234	39.4%
-1.8	9184	22.3%
1.1	7763	18.8%
-0.1	3683	8.9%
-2.9	1663	4.0%
-3.4	1071	2.6%
-1.7	773	1.9%
-1.1	635	1.5%
-3	172	0.4%
-0.2	10	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-3.4	1071	2.6%
-3	172	0.4%
-2.9	1663	4.0%
-1.8	9184	22.3%
-1.7	773	1.9%

Value	Count	Frequency (%)
1.4	16234	39.4%
1.1	7763	18.8%
-0.1	3683	8.9%
-0.2	10	< 0.1%
-1.1	635	1.5%

""cons.price.idx""
Real number (ℝ_≥0)

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	93.57566437
Minimum	92.201
Maximum	94.767
Zeros	0
Zeros (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	92.201
5-th percentile	92.713
Q1	93.075
median	93.749
Q3	93.994
95-th percentile	94.465
Maximum	94.767
Range	2.566
Interquartile range (IQR)	0.919

Descriptive statistics

Standard deviation	0.578840049
Coefficient of variation (CV)	0.00618579684
Kurtosis	-0.8298085772
Mean	93.57566437
Median Absolute Deviation (MAD)	0.38
Skewness	-0.2308876514
Sum	3854194.464
Variance	0.3350558023
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
93.994	7763	18.8%
93.918	6685	16.2%
92.893	5794	14.1%
93.444	5175	12.6%
94.465	4374	10.6%
93.2	3616	8.8%
93.075	2458	6.0%
92.201	770	1.9%
92.963	715	1.7%
92.431	447	1.1%
Other values (16)	3391	8.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
92.201	770	1.9%
92.379	267	0.6%
92.431	447	1.1%
92.469	178	0.4%
92.649	357	0.9%

Value	Count	Frequency (%)
94.767	128	0.3%
94.601	204	0.5%
94.465	4374	10.6%
94.215	311	0.8%
94.199	303	0.7%

""cons.conf.idx""
Real number (ℝ)

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-40.50260027
Minimum	-50.8
Maximum	-26.9
Zeros	0
Zeros (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	-50.8
5-th percentile	-47.1
Q1	-42.7
median	-41.8
Q3	-36.4
95-th percentile	-33.6
Maximum	-26.9
Range	23.9
Interquartile range (IQR)	6.3

Descriptive statistics

Standard deviation	4.628197856
Coefficient of variation (CV)	-0.1142691537
Kurtosis	-0.3585583105
Mean	-40.50260027
Median Absolute Deviation (MAD)	4.4
Skewness	0.3031798587
Sum	-1668221.1
Variance	21.4202154
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
-36.4	7763	18.8%
-42.7	6685	16.2%
-46.2	5794	14.1%
-36.1	5175	12.6%
-41.8	4374	10.6%
-42	3616	8.8%
-47.1	2458	6.0%
-31.4	770	1.9%
-40.8	715	1.7%
-26.9	447	1.1%
Other values (16)	3391	8.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-50.8	128	0.3%
-50	282	0.7%
-49.5	204	0.5%
-47.1	2458	6.0%
-46.2	5794	14.1%

Value	Count	Frequency (%)
-26.9	447	1.1%
-29.8	267	0.6%
-30.1	357	0.9%
-31.4	770	1.9%
-33	172	0.4%

""euribor3m""
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	316
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.621290813
Minimum	0.634
Maximum	5.045
Zeros	0
Zeros (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	0.634
5-th percentile	0.797
Q1	1.344
median	4.857
Q3	4.961
95-th percentile	4.966
Maximum	5.045
Range	4.411
Interquartile range (IQR)	3.617

Descriptive statistics

Standard deviation	1.734447405
Coefficient of variation (CV)	0.4789583313
Kurtosis	-1.406802622
Mean	3.621290813
Median Absolute Deviation (MAD)	0.108
Skewness	-0.7091879564
Sum	149153.726
Variance	3.0083078
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.857	2868	7.0%
4.962	2613	6.3%
4.963	2487	6.0%
4.961	1902	4.6%
4.856	1210	2.9%
4.964	1175	2.9%
1.405	1169	2.8%
4.965	1071	2.6%
4.864	1044	2.5%
4.96	1013	2.5%
Other values (306)	24636	59.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.634	8	< 0.1%
0.635	43	0.1%
0.636	14	< 0.1%
0.637	6	< 0.1%
0.638	7	< 0.1%

Value	Count	Frequency (%)
5.045	9	< 0.1%
5	7	< 0.1%
4.97	172	0.4%
4.968	992	2.4%
4.967	643	1.6%

""nr.employed""
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5167.035911
Minimum	4963.6
Maximum	5228.1
Zeros	0
Zeros (%)	0.0%
Memory size	321.9 KiB

Quantile statistics

Minimum	4963.6
5-th percentile	5017.5
Q1	5099.1
median	5191
Q3	5228.1
95-th percentile	5228.1
Maximum	5228.1
Range	264.5
Interquartile range (IQR)	129

Descriptive statistics

Standard deviation	72.25152767
Coefficient of variation (CV)	0.01398316732
Kurtosis	-0.003760375696
Mean	5167.035911
Median Absolute Deviation (MAD)	37.1
Skewness	-1.044262407
Sum	212819875.1
Variance	5220.28325
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
5228.1	16234	39.4%
5099.1	8534	20.7%
5191	7763	18.8%
5195.8	3683	8.9%
5076.2	1663	4.0%
5017.5	1071	2.6%
4991.6	773	1.9%
5008.7	650	1.6%
4963.6	635	1.5%
5023.5	172	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4963.6	635	1.5%
4991.6	773	1.9%
5008.7	650	1.6%
5017.5	1071	2.6%
5023.5	172	0.4%

Value	Count	Frequency (%)
5228.1	16234	39.4%
5195.8	3683	8.9%
5191	7763	18.8%
5176.3	10	< 0.1%
5099.1	8534	20.7%

""y"""
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	321.9 KiB

""no"""	36548
""yes"""	4640

Length

Max length	8
Median length	7
Mean length	7.112654171
Min length	7

Characters and Unicode

Total characters	292956
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	""no"""
2nd row	""no"""
3rd row	""no"""
4th row	""no"""
5th row	""no"""

Value	Count	Frequency (%)
""no"""	36548	88.7%
""yes"""	4640	11.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	36548	88.7%
yes	4640	11.3%

Most occurring characters

Value	Count	Frequency (%)
"	205940	70.3%
n	36548	12.5%
o	36548	12.5%
y	4640	1.6%
e	4640	1.6%
s	4640	1.6%

Most occurring categories

Value	Count	Frequency (%)
Other Punctuation	205940	70.3%
Lowercase Letter	87016	29.7%

Most frequent character per category

Value	Count	Frequency (%)
n	36548	42.0%
o	36548	42.0%
y	4640	5.3%
e	4640	5.3%
s	4640	5.3%

Value	Count	Frequency (%)
"	205940	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	205940	70.3%
Latin	87016	29.7%

Most frequent character per script

Value	Count	Frequency (%)
n	36548	42.0%
o	36548	42.0%
y	4640	5.3%
e	4640	5.3%
s	4640	5.3%

Value	Count	Frequency (%)
"	205940	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	292956	100.0%

Most frequent character per block

Value	Count	Frequency (%)
"	205940	70.3%
n	36548	12.5%
o	36548	12.5%
y	4640	1.6%
e	4640	1.6%
s	4640	1.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	"age	""job""	""marital""	""education""	""default""	""housing""	""loan""	""contact""	""month""	""day_of_week""	""duration""	""campaign""	""pdays""	""poutcome""	""emp.var.rate""	""cons.price.idx""	""cons.conf.idx""	""euribor3m""	""nr.employed""	""y"""
0	"56	""housemaid""	""married""	""basic.4y""	""no""	""no""	""no""	""telephone""	""may""	""mon""	261	1	999	""nonexistent""	1.1	93.994	-36.4	4.857	5191.0	""no"""
1	"57	""services""	""married""	""high.school""	""unknown""	""no""	""no""	""telephone""	""may""	""mon""	149	1	999	""nonexistent""	1.1	93.994	-36.4	4.857	5191.0	""no"""
2	"37	""services""	""married""	""high.school""	""no""	""yes""	""no""	""telephone""	""may""	""mon""	226	1	999	""nonexistent""	1.1	93.994	-36.4	4.857	5191.0	""no"""
3	"40	""admin.""	""married""	""basic.6y""	""no""	""no""	""no""	""telephone""	""may""	""mon""	151	1	999	""nonexistent""	1.1	93.994	-36.4	4.857	5191.0	""no"""
4	"56	""services""	""married""	""high.school""	""no""	""no""	""yes""	""telephone""	""may""	""mon""	307	1	999	""nonexistent""	1.1	93.994	-36.4	4.857	5191.0	""no"""
5	"45	""services""	""married""	""basic.9y""	""unknown""	""no""	""no""	""telephone""	""may""	""mon""	198	1	999	""nonexistent""	1.1	93.994	-36.4	4.857	5191.0	""no"""
6	"59	""admin.""	""married""	""professional.course""	""no""	""no""	""no""	""telephone""	""may""	""mon""	139	1	999	""nonexistent""	1.1	93.994	-36.4	4.857	5191.0	""no"""
7	"41	""blue-collar""	""married""	""unknown""	""unknown""	""no""	""no""	""telephone""	""may""	""mon""	217	1	999	""nonexistent""	1.1	93.994	-36.4	4.857	5191.0	""no"""
8	"24	""technician""	""single""	""professional.course""	""no""	""yes""	""no""	""telephone""	""may""	""mon""	380	1	999	""nonexistent""	1.1	93.994	-36.4	4.857	5191.0	""no"""
9	"25	""services""	""single""	""high.school""	""no""	""yes""	""no""	""telephone""	""may""	""mon""	50	1	999	""nonexistent""	1.1	93.994	-36.4	4.857	5191.0	""no"""

Last rows

	"age	""job""	""marital""	""education""	""default""	""housing""	""loan""	""contact""	""month""	""day_of_week""	""duration""	""campaign""	""pdays""	""previous""	""poutcome""	""emp.var.rate""	""cons.price.idx""	""cons.conf.idx""	""euribor3m""	""nr.employed""	""y"""
41178	"62	""retired""	""married""	""university.degree""	""no""	""no""	""no""	""cellular""	""nov""	""thu""	483	2	6	3	""success""	-1.1	94.767	-50.8	1.031	4963.6	""yes"""
41179	"64	""retired""	""divorced""	""professional.course""	""no""	""yes""	""no""	""cellular""	""nov""	""fri""	151	3	999	0	""nonexistent""	-1.1	94.767	-50.8	1.028	4963.6	""no"""
41180	"36	""admin.""	""married""	""university.degree""	""no""	""no""	""no""	""cellular""	""nov""	""fri""	254	2	999	0	""nonexistent""	-1.1	94.767	-50.8	1.028	4963.6	""no"""
41181	"37	""admin.""	""married""	""university.degree""	""no""	""yes""	""no""	""cellular""	""nov""	""fri""	281	1	999	0	""nonexistent""	-1.1	94.767	-50.8	1.028	4963.6	""yes"""
41182	"29	""unemployed""	""single""	""basic.4y""	""no""	""yes""	""no""	""cellular""	""nov""	""fri""	112	1	9	1	""success""	-1.1	94.767	-50.8	1.028	4963.6	""no"""
41183	"73	""retired""	""married""	""professional.course""	""no""	""yes""	""no""	""cellular""	""nov""	""fri""	334	1	999	0	""nonexistent""	-1.1	94.767	-50.8	1.028	4963.6	""yes"""
41184	"46	""blue-collar""	""married""	""professional.course""	""no""	""no""	""no""	""cellular""	""nov""	""fri""	383	1	999	0	""nonexistent""	-1.1	94.767	-50.8	1.028	4963.6	""no"""
41185	"56	""retired""	""married""	""university.degree""	""no""	""yes""	""no""	""cellular""	""nov""	""fri""	189	2	999	0	""nonexistent""	-1.1	94.767	-50.8	1.028	4963.6	""no"""
41186	"44	""technician""	""married""	""professional.course""	""no""	""no""	""no""	""cellular""	""nov""	""fri""	442	1	999	0	""nonexistent""	-1.1	94.767	-50.8	1.028	4963.6	""yes"""
41187	"74	""retired""	""married""	""professional.course""	""no""	""yes""	""no""	""cellular""	""nov""	""fri""	239	3	999	1	""failure""	-1.1	94.767	-50.8	1.028	4963.6	""no"""

Most frequent

	"age	""job""	""marital""	""education""	""default""	""housing""	""loan""	""contact""	""month""	""day_of_week""	""duration""	""campaign""	""pdays""	""poutcome""	""emp.var.rate""	""cons.price.idx""	""cons.conf.idx""	""euribor3m""	""nr.employed""	""y"""	count
0	"24	""services""	""single""	""high.school""	""no""	""yes""	""no""	""cellular""	""apr""	""tue""	114	1	999	""nonexistent""	-1.8	93.075	-47.1	1.423	5099.1	""no"""	2
1	"27	""technician""	""single""	""professional.course""	""no""	""no""	""no""	""cellular""	""jul""	""mon""	331	2	999	""nonexistent""	1.4	93.918	-42.7	4.962	5228.1	""no"""	2
2	"32	""technician""	""single""	""professional.course""	""no""	""yes""	""no""	""cellular""	""jul""	""thu""	128	1	999	""nonexistent""	1.4	93.918	-42.7	4.968	5228.1	""no"""	2
3	"35	""admin.""	""married""	""university.degree""	""no""	""yes""	""no""	""cellular""	""may""	""fri""	348	4	999	""nonexistent""	-1.8	92.893	-46.2	1.313	5099.1	""no"""	2
4	"36	""retired""	""married""	""unknown""	""no""	""no""	""no""	""telephone""	""jul""	""thu""	88	1	999	""nonexistent""	1.4	93.918	-42.7	4.966	5228.1	""no"""	2
5	"39	""admin.""	""married""	""university.degree""	""no""	""no""	""no""	""cellular""	""nov""	""tue""	123	2	999	""nonexistent""	-0.1	93.200	-42.0	4.153	5195.8	""no"""	2
6	"39	""blue-collar""	""married""	""basic.6y""	""no""	""no""	""no""	""telephone""	""may""	""thu""	124	1	999	""nonexistent""	1.1	93.994	-36.4	4.855	5191.0	""no"""	2
7	"41	""technician""	""married""	""professional.course""	""no""	""yes""	""no""	""cellular""	""aug""	""tue""	127	1	999	""nonexistent""	1.4	93.444	-36.1	4.966	5228.1	""no"""	2
8	"45	""admin.""	""married""	""university.degree""	""no""	""no""	""no""	""cellular""	""jul""	""thu""	252	1	999	""nonexistent""	-2.9	92.469	-33.6	1.072	5076.2	""yes"""	2
9	"47	""technician""	""divorced""	""high.school""	""no""	""yes""	""no""	""cellular""	""jul""	""thu""	43	3	999	""nonexistent""	1.4	93.918	-42.7	4.962	5228.1	""no"""	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters